collaborators

5 papers

cs.CG2026

Rerouting Curves on Surfaces

Timo Brand, Stefan Felsner, Henry Förster +8

We study the problem of reconfiguring a crossing-free embedding of a graph on a surface, with edges represented as curves, into another crossing-free embedding of the same graph on…

cs.LG2026

Visualizing High-Dimensional Graph Embeddings via Informed Multi-View Projections

Ya Ji, Xuefeng Li, Timo Brand +4

Graphs are commonly visualized in 2D, where humans readily interpret spatial relationships, yet such layouts often distort higher-dimensional structure. We propose to embed graphs…

cs.CG2026

Using Reinforcement Learning to Optimize the Global and Local Crossing Number

Timo Brand, Henry Förster, Henry Förster +5

Graph drawing concerns the algorithmic visualization of graphs. A good drawing of a graph is easy to read and facilitates solving tasks on the graph. Several properties have been i…

cs.HC2026

Exploring MLLMs Perception of Network Visualization Principles

Jacob Miller, Markus Wallinger, Ludwig Felder +5

In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Spec…

cs.GR2025

Visualization Biases MLLM's Decision Making in Network Data Tasks

Timo Brand, Henry Förster, Stephen G. Kobourov +1

We evaluate how visualizations can influence the judgment of MLLMs about the presence or absence of bridges in a network. We show that the inclusion of visualization improves confi…